Triple
T15327036
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Malmö University |
E366437
|
entity |
| Predicate | staffPopulationApprox |
P118127
|
FINISHED |
| Object | over 1,500 staff |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: over 1,500 staff | Statement: [Malmö University, staffPopulationApprox, over 1,500 staff]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: staffPopulationApprox Context triple: [Malmö University, staffPopulationApprox, over 1,500 staff]
-
A.
userPopulation
Indicates the total number of users associated with or served by a given system, service, or context.
-
B.
peakPopulationApproximate
Indicates that the peak population of an entity is known only approximately rather than as an exact value.
-
C.
hasPopulationApproximate
Indicates that an entity has an estimated or approximate population size, rather than an exact count.
-
D.
hostsPopulation
Indicates that an entity serves as the living environment or container in which a particular population exists or resides.
-
E.
municipalityPopulation
Indicates the total number of inhabitants living within a given municipality.
- F. None of above. chosen
Provenance (4 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d85a121520819093dcce999fdefe1a |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03dffd6f88190a0f031ee90c6a7d2 |
completed | April 16, 2026, 1:40 a.m. |
| PD | Predicate disambiguation | batch_69deca9659f48190b8661df223ce5078 |
completed | April 14, 2026, 11:15 p.m. |
| PDg | Predicate description generation | batch_69decf2e413481909d9180a8d78d2c17 |
completed | April 14, 2026, 11:35 p.m. |
Created at: April 10, 2026, 3:16 a.m.